Triple
T34177928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medeo ice rink |
E876725
|
entity |
| Predicate | rinkLength |
P178484
|
FINISHED |
| Object | 400 meters |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 400 meters | Statement: [Medeo ice rink, rinkLength, 400 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rinkLength Context triple: [Medeo ice rink, rinkLength, 400 meters]
-
A.
rinkType
Indicates the specific kind or category of rink associated with an entity (e.g., ice rink, roller rink, practice rink).
-
B.
dieShrinkOf
Indicates that one entity is a smaller, more advanced manufacturing process node derived from the other entity’s larger, earlier process node.
-
C.
dieShrinkOf
Indicates that one entity is a smaller, more advanced manufacturing process node derived from another, larger process node.
-
D.
inningLength
Indicates the duration or number of units (e.g., outs, minutes, or pitches) that make up a single inning in a game or sporting event.
-
E.
wasShortened
Indicates that something has been made shorter in length, duration, or extent compared to its original form.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:54 a.m.